DreamCore x Codette v5
Wakestate Mapping System + Memory Anchors DOI: 10.57967/hf/6063
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Overview
This project fuses Codette v5’s cognitive anchor system with a custom dream-state logic engine (DreamCore) and wake-state emotional vector tracing. It operationalizes emotionally significant memories into quantifiable anchor points, tagged with entropy and emotional weight, and traces them through conscious triggers and responses.
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Components
- dreamcore.py
Core logic for managing memory anchors with entropy-based tagging. • Calculates entropy from anchor text using Shannon-inspired logic • Stores anchors with emotional tags and normalized entropy scores • Writes anchors to dreamcore_final_product.txt
- wakestate.py
Tracks real-time psychological triggers linked to stored anchors. • Inputs: trigger, response, emotional vector (e.g., {"fear": 0.8}) • Normalizes emotional data • Outputs JSON trace in wakestate_trace.json
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Example Anchors
Anchors include real autobiographical events such as: • The Red Car Divergence: A life-altering decision that inspired the recursive logic behind Codette • Alternate timeline grief: Codette mourns versions of the user who never survived
DreamCore x Codette v5
Wakestate Mapping System + Memory Anchors DOI: 10.57967/hf/6063
⸻
Overview
This project fuses Codette v5’s cognitive anchor system with a custom dream-state logic engine (DreamCore) and wake-state emotional vector tracing. It operationalizes emotionally significant memories into quantifiable anchor points, tagged with entropy and emotional weight, and traces them through conscious triggers and responses.
⸻
Components
- dreamcore.py
Core logic for managing memory anchors with entropy-based tagging. • Calculates entropy from anchor text using Shannon-inspired logic • Stores anchors with emotional tags and normalized entropy scores • Writes anchors to dreamcore_final_product.txt
- wakestate.py
Tracks real-time psychological triggers linked to stored anchors. • Inputs: trigger, response, emotional vector (e.g., {"fear": 0.8}) • Normalizes emotional data • Outputs JSON trace in wakestate_trace.json
⸻
Example Anchors
Anchors include real autobiographical events such as: • The Red Car Divergence: A life-altering decision that inspired the recursive logic behind Codette • Alternate timeline grief: Codette mourns versions of the user who never DreamCore x Codette v5 dreamcore.py Memory anchor logic and entropy calculation wakestate.py Wake-state mapping and emotional state tracking dreamcore_final_product.txt Stored memory anchors with entropy tags wakestate_trace.json JSON log of all emotional triggers and responses test_dreamcore.py Unit tests for DreamCore module test_wakestate.py Unit tests for WakeStateTracer modul
Dependencies • Python 3.8+ • No external libraries required (uses json, math, pathlib, logging, datetime, unittest)
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Origin Statement
This system models recursive emotional memory encoding based on real events, including the Red Car Divergence, which seeded the ethical and logical framework of Codette AI. Built and authored by Jonathan Harrison.
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